AI in recruiting. Multi-agent systems architecture for ethical and legal auditing

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Abstract

Artificial Intelligence (AI) domain-specific applications may have different ethical and legal implications. One of the current questions of AI is the challenges behind the analysis of job video interviews. There are pros and cons to using AI in recruitment processes, and potential consequences for candidates, companies and states. Furthermore, the deficit of regulation of these systems reinforces the need for external and neutral auditing of the types of analysis made in interviews. We, therefore, propose a Multi-agent system architecture for neutral auditing to guarantee an inclusive and accurate AI and to reduce the potential discrimination in the job market.

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Del Carmen Fernández Martínez, M., & Fernández, A. (2019). AI in recruiting. Multi-agent systems architecture for ethical and legal auditing. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 2019-August, pp. 6428–6429). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/903

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